What you will do: Build prototype solutions using agentic AI frameworks to solve complex business problems to drive automated decision making such as order processing, forecasting projections, financial reconciliation, batch processing, Analyze requirements for ML projects supporting Ingredion functional areas (demand planning, experimental ingredient formulations, manufacturing, yield management, and others) and translate them into ML solutions. This role will work with a team of AI/ML engineers, architects, consultants, and data scientists across all areas of Ingredion data science and AI, potentially including teams involved with crop science yields, factory reaction yield optimization, design of experiments in formulating new products, and demand forecasting.